At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
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6-9 years of proven technology experience as a Senior DevOps Engineer.
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Expert-level proficiency with Azure DevOps/Jenkins/GitHub Actions for enterprise-scale CI/CD pipeline design.
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Advanced experience with Terraform and AWS CloudFormation for IaC, including modular and reusable templates.
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Deep knowledge of AWS and corresponding Azure Services. AWS RDS performance tuning, backup strategies, and EC2 cost optimization.
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Strong understanding of cloud architecture, security best practices, and high availability design.
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Experience in designing and implementing monitoring, alerting, and logging strategies.
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Strong expertise in AWS CloudWatch, including custom metrics, dashboards, and automated remediation. Experience with other tools like Splunk, Prometheus, Grafana, ELK stack, or equivalent.
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Experience with docker and container orchestration (Kubernetes/EKS) and microservices deployment.
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Proficient in version control systems (Git) and branching strategies.
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Strong skills in scripting languages (Python, Bash) and configuration management tools (Ansible, Chef, or Puppet).
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Strong troubleshooting skills in cloud and DevOps environments.
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Experience of security tools and integrating DevSecOps practices into the CI/CD pipeline to ensure consistent testing.
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Understanding of secure infrastructure practices, identity and access management, and encryption.
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Excellent communication and collaboration abilities, with a proven track record of effective teamwork.
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Proficiency in Groovy, Perl and JavaScript is a plus
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Good understanding of artificial intelligence, with curiosity and enthusiasm for learning how AI tools can be used to improve DevOps processes and drive efficiency.
Education
Bachelor’s, Master’s, or PhD degree in Computer Science, Information Technology or related field is required.
Responsibilities
As the Senior DevOps Engineer within the Asset Management technology teams, you will collaborate with global colleagues to develop and enhance our leading products in the Structured Finance area. In this role, you will play a key part in owning the infrastructure, deployments and provide solutions that address complex challenges faced by clients in the fixed income finance sector.
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Take ownership, architect and implement robust CI/CD solutions using Azure DevOps, Jenkins or GitHub Actions for complex, multi-service environments.
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Lead infrastructure automation projects using tools like Terraform and CloudFormation, ensuring adherence to best practices.
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Collaborate closely with software development and cross-functional teams to define DevOps strategies and improve deployment workflows.
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Contribute to managing containerised workloads and orchestration platforms such as Kubernetes or EKS.
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Take responsibility for maintaining infrastructure security, ensuring compliance with internal and external standards, and optimising costs across cloud resources.
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Diagnose and resolve infrastructure and deployment issues proactively to maintain system stability and performance.
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Mentoring and leadership skills for guiding junior DevOps engineers, conducting code reviews and providing technical guidance, ensuring best practices
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Create and maintain clear documentation of infrastructure designs, workflows, and operational procedures to ensure maintainability and knowledge sharing within the team.
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Support the deployment and scaling of AI-powered solutions within cloud environments, contributing to robust and future-ready operations.
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Stay current with emerging DevOps tools, cloud technologies, and best practices.
About the team
You’ll be joining a dynamic, global cross-functional team within Moody’s Analytics Asset Management business, with focus on our Structured Finance group. Our international team collaborates across borders, bringing together diverse expertise to serve some of the world’s most prestigious companies. We specialise in developing cutting-edge software, sophisticated models, and advanced analytics that empower leading organisations to make informed investment decisions. Our Asset Management team is committed to leveraging the latest advancements in technology, including artificial intelligence, to stay at the forefront of financial technology, consistently delivering robust and future-proof products to our clients. By working alongside talented colleagues worldwide, you’ll help our clients manage risks and seize opportunities in a constantly evolving financial landscape. Join a team celebrated for its culture of innovation, collaborative spirit, and commitment to delivering best-in-class technology solutions to an international clientele.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.
